Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/31092
Title: | Comparison of Multivendor Single-Voxel MR Spectroscopy Data Acquired in Healthy Brain at 26 Sites | Authors: | Povazan, Michal Mikkelsen, Mark Berrington, Adam Bhattacharyya, Pallab K. Brix, Maiken K. Buur, Pieter F. Cecil, Kim M. Chan, Kimberly L. Chen, David Y. T. Craven, Alexander R. CUYPERS, Koen Dacko, Michael Duncan, Niall W. Dydak, Ulrike Edmondson, David A. Ende, Gabriele Ersland, Lars Forbes, Megan A. Gao, Fei Greenhouse, Ian |
Issue Date: | 2020 | Publisher: | RADIOLOGICAL SOC NORTH AMERICA | Source: | RADIOLOGY, 295 (1) , p. 171 -180 | Abstract: | In a multisite study of brain MR spectroscopy performed at 26 sites, interindividual differences were found as the main contributor to variability, demonstrating that appropriately analyzed MR spectroscopy data acquired at different sites and with different scanners can be compared. Background: The hardware and software differences between MR vendors and individual sites influence the quantification of MR spectroscopy data. An analysis of a large data set may help to better understand sources of the total variance in quantified metabolite levels. Purpose: To compare multisite quantitative brain MR spectroscopy data acquired in healthy participants at 26 sites by using the vendor-supplied single-voxel point-resolved spectroscopy (PRESS) sequence. Materials and Methods: An MR spectroscopy protocol to acquire short-echo-time PRESS data from the midparietal region of the brainwas disseminated to 26 research sites operating 3.0-T MR scanners from three different vendors. In this prospective study, healthy participants were scanned between July 2016 and December 2017. Data were analyzed by using software with simulated basis sets customized for each vendor implementation. The proportion of total variance attributed to vendor-, site-, and participant-related effects was estimated by using a linear mixed-effects model. P values were derived through parametric bootstrapping of the linearmixed-effects models (denoted P-boot). Results: In total, 296 participants (mean age, 26 years +/- 4.6; 155 women and 141 men) were scanned. Good-quality data were recorded from all sites, as evidenced by a consistent linewidth of N-acetylaspartate (range, 4.4-5.0 Hz), signal-to-noise ratio (range,174-289), and low Cramer-Rao lower bounds (<= 5%) for all of the major metabolites. Among the major metabolites, no vendor effects were found for levels of myo-inositol (P-boot > .90), N-acetylaspartate and N-acetylaspartylglutamate (P-boot =.13), or glutamate and glutamine (P-boot =.11). Among the smaller resonances, no vendor effects were found for ascorbate (P-boot =.08), aspartate (P-boot >.90), glutathione (P-boot > .90), or lactate (P-boot =.28). Conclusion: Multisite multivendor single-voxel MR spectroscopy studies performed at 3.0 T can yield results that are coherent across vendors, provided that vendor differences in pulse sequence implementation are accounted for in data analysis. However, the site related effects on variability were more profound and suggest the need for further standardization of spectroscopic protocols. | Notes: | Povazan, M (reprint author), Johns Hopkins Univ, Sch Med, Russell H Morgan Dept Radiol & Radiol Sci, Div Neuroradiol, Pk 367B,600 N Wolfe St, Baltimore, MD 21287 USA.; Povazan, M (reprint author), Kennedy Krieger Inst, FM Kirby Res Ctr Funct Brain Imaging, Baltimore, MD USA. | Other: | Povazan, M (reprint author), Johns Hopkins Univ, Sch Med, Russell H Morgan Dept Radiol & Radiol Sci, Div Neuroradiol, Pk 367B,600 N Wolfe St, Baltimore, MD 21287 USA; Kennedy Krieger Inst, FM Kirby Res Ctr Funct Brain Imaging, Baltimore, MD USA. | Document URI: | http://hdl.handle.net/1942/31092 | ISSN: | 0033-8419 | DOI: | 10.1148/radiol.2020191037 | ISI #: | WOS:000520166000030 | Rights: | RSNA, 2020 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
radiol.2020191037.pdf | Published version | 1.83 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
1
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
24
checked on Jul 18, 2024
Page view(s)
32
checked on Sep 7, 2022
Download(s)
4
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.